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Supervised machine learning to validate a novel scoring sys..:
McKevitt, Chase
;
Gabriel, Ellie
;
Marenco-Hillembrand, Lina
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/s41598-023-42157-3
RT Journal T1
Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41598-023-42157-3&Exemplar=1&LAN=DE A1 McKevitt, Chase A1 Gabriel, Ellie A1 Marenco-Hillembrand, Lina A1 Otamendi-Lopez, Andrea A1 Jeevaratnam, Suren A1 Almeida, Joao Paulo A1 Samson, Susan A1 Chaichana, Kaisorn L. PB Springer Science and Business Media LLC YR 2023 SN 2045-2322 JF Scientific Reports VO 13 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s41598-023-42157-3 DO https://doi.org/10.1038/s41598-023-42157-3 SF ELIB - SuUB Bremen
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